About the Role

We’re looking for an AI Researcher focused on AI architecture research to help design, analyze, and advance next-generation model architectures. You’ll work at the intersection of theory and production—publishing novel research while collaborating closely with engineers to turn ideas into real systems.

This role is ideal for someone who has published research papers and wants to see their work directly shape deployed models, not just benchmarks.

What You’ll Work On

• Research and design novel AI architectures (e.g. alternatives to standard Transformer designs, long-context models, efficient sequence modeling, hybrid architectures)

• Explore architectural improvements for scalability, efficiency, and stability

• Prototype and evaluate new architectures through ablations, benchmarks, and empirical studies

• Author and co-author research papers for top ML conferences and journals

• Collaborate with engineering teams to translate research into training and inference systems

• Stay current with state-of-the-art research and identify promising directions early

What We’re Looking For

• Strong background in machine learning research, with a focus on model architecture

• Publication record in ML/AI venues (e.g. NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, arXiv)

• Deep understanding of:

  • Neural network architectures

  • Sequence models and attention mechanisms

  • Training dynamics and optimization

• Hands-on experience with PyTorch or JAX

• Ability to reason rigorously, design clean experiments, and communicate results clearly

• Comfortable working in a fast-moving startup environment

Nice to Have